Tanlin Sun

Molecular Biology · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 17 citations into it

Whom Tanlin Sun trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Daniel Quang
2. Babak Alipanahi
3. Shawn Martin
4. Matthew Spencer
5. Haoyang Zeng
6. Yanzhi Guo
7. Rhys Heffernan
8. Xiaohui S. Xie
9. Geoffrey E. Hinton
10. Zachary Chase Lipton

Who trusts Tanlin Sun overall

1. Yuan Zhang

Papers from Tanlin Sun's perspective

Ordered by how strongly the researchers Tanlin Sun trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Dropout: a simple way to prevent neural networks from overfitting
7. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
8. Attention is All you Need (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Sequence-based prediction of protein protein interaction using a deep-learning algorithm (2017) — 341 citations